supported by the National Natural Science Foundation of China(Nos.12001313,11771386,11728104,and 62202054);the Natural Science Foundation of Shandong Province of China(No.ZR2020QA023);the Natural Sciences and Engineering Research Council of Canada(NSERC)(No.283106).
This paper studies two scheduling games on identical batching-machines with activation cost,where each game comprises n jobs being processed on m identical batching-machines.Each job,as an agent,chooses a machine(or,m...
Project supported by the National Natural Science Foundation of China(Grant No.72031009);the National Social Science Foundation of China(Grant No.20&ZD058)。
We study the influence of conformity on the evolution of cooperative behavior in games under the learning method of sampling on networks.A strategy update rule based on sampling is introduced into the stag hunt game,w...
supported by China National Defense Basic Research Programs(Grant No.JCKY2021204B104)。
Autonomous decision-making is crucial for aircraft to achieve quick victories in diverse scenarios.Based on a 6-degree-of-freedom aircraft model,this paper proposes a decoupled guidance and control theory for autonomo...
supported by the Research Grants Council of the Hong Kong Special Administration Region under the Grant No.14201621。
In this paper,we investigate the distributed Nash equilibrium(NE)seeking problem for aggregative games with multiple uncertain Euler–Lagrange(EL)systems over jointly connected and weight-balanced switching networks.T...
The videogame industry has always put visual components at the forefront in its design and analytical processes while following a visuocentric approach.This paper contends that a new perspective is needed to appreciat...
supported by AFOSR under Grant No.FA9550-23-1-0060;NSF under Grant Nos.2336137(Mehta)and 2306023(Meyn).
The broad goal of the research surveyed in this article is to develop methods for understanding the aggregate behavior of interconnected dynamical systems,as found in mathematical physics,neuroscience,economics,power ...
supported by Natural Sciences and Engineering Research Council(NSERC)of Canada.
This paper considers risk-sensitive linear-quadratic mean-field games.By the so-called direct approach via dynamic programming,the authors determine the feedback Nash equilibrium in an N-player game.Subsequently,the a...
supported by the Natural Sciences and Engineering Research Council of Canada(NSERC)under Grant No.RGPIN-2022-05337;the Social Sciences and Humanities Research Council of Canada under GrantNo.430-2022-00544.
This paper presents a dynamic game framework to analyze the role of large banks in interbank markets.By extending existing models,a large bank is incorporated as a dynamic decision-maker interacting with multiple smal...
supported by NSERC(Canada)under Grant Nos.RGPIN-2024-06612(SG)and RGPIN 2022-05402(RM).
This paper studies a class of linear quadratic mean field games where the coefficients of quadratic cost functions depend on both the mean and the variance of the population’s state distribution through its quantile ...
Based on ground observation data of relative humidity,the prediction performance of STNF and MIFS in each competition area during February 13-26,2024 was tested and evaluated by using two intelligent forecasting metho...